♦ Developing node autoscaling for serverless platform

♦ Led in-car testing and triaging efforts for a multiplexed media player designed to debug Autonomous Vehicle software, resulting in increased release stability and the resolution of 50+ reported issues

♦ Improved Autonomous Vehicle software visualizations by restructuring React.js layouts and resolving protobuf data processing bugs in GoLang

♦ Optimized blind spot detection CPU utilization from 25% to 20% by streamlining obstacle data visualization

♦ Migrated ∼12,700 lines of RST to Markdown, enabling hierarchical doc storage

♦ Redesigned energy metric collection system architecture to improve horizontal scalability

♦ Migrated backend time-series database solution from Cassandra to Uber M3

♦ Implemented a Java client library to interface with M3

♦ Streamlined game engine customization by allowing 500+ developers to view and modify hierarchical settings

♦ Implemented an Editor GUI using a Qt TreeModel component to render DOM nodes from in-memory data

♦ Integrated notification handlers to populate file origins during JSON patch and JSON merge patch operations

♦ Reduced memory usage by 75% by incorporating a DOM Prefix Tree and truncating redundant data

♦ Wrote GoogleTest unit tests to ensure the reliability, maintainability, and scalability of the program

♦ Enabled 100+ engineers to view and modify Amazon Ion shipment entities utilizing React.js assets in S3

♦ Constructed a serverless architecture using API Gateway to trigger AWS Lambda functions

♦ Developed Java AWS Lambda functions with Google Guice to query and aggregate Middle Mile shipment data

♦ Accelerated shipping entity operational management by 90% by consolidating all entities into a single interface